Data Scientist - San Diego

Scripps Health•San Diego, CA

1d•Hybrid

About The Position

The Data Scientist provides advanced, integrated analytics in support of organizational objectives. The role sources, manages, and analyzes large amounts of unstructured data, synthesizes findings, and communicates results to facilitate data-driven decision-making. The Data Scientist partners with internal and external constituents to understand requirements, plan and execute projects, and produce actionable data supporting strategic initiatives and continuous performance improvement. The position designs data-modeling processes and develops statistical, machine-learning, predictive, and generative AI solutions to produce actionable insights for clinical, operational, and business stakeholders. It also evaluates emerging AI technologies and tools, working with technical and business stakeholders to translate new capabilities into practical, responsible, and measurable solutions. The position is benefited and full-time, works mostly remotely with occasional on-site work, and requires residence in the San Diego area.

Requirements

Bachelor's degree.
Experience with healthcare data sources such as medical claims, authorizations, pharmacy, provider, and membership data.
Experience with statistical modeling and interpretation of complex data.
Experience analyzing medical expenses and utilization trends, RAF scores, comorbidities and disease burden, or healthcare quality measures.
Excellent critical and analytical thinking, customer service, written communication, and verbal communication skills.
Experience programming in R, Python, or SAS.
Intermediate knowledge of SQL, ETL, data modeling, and reporting technologies.
Intermediate knowledge of Power BI or Tableau.
Knowledge and skills to explain complex concepts to team members and leadership.
Ability to work independently and collaboratively as part of a team.

Nice To Haves

Master's degree in a related field, such as Data Science, Quantitative, Clinical, or Engineering.
Experience working with financial datasets, such as accounting, health plan claims, or profit and loss data.
Prior experience with Epic data structures and reporting environments.
Expertise leading analytics for value-based populations.
Experience in predictive modeling for clinical intelligence.
Experience in market intelligence and financial projections.

Responsibilities

Provide advanced, integrated analytics in support of organizational objectives.
Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate data-driven decision-making.
Partner with internal and external constituents to understand requirements, plan and execute projects, and produce actionable data to support strategic initiatives and continuous performance improvement.
Design data-modeling processes and develop statistical, machine-learning, and predictive models to generate actionable insights for clinical, operational, and business stakeholders.
Develop, evaluate, and operationalize AI and machine-learning solutions, including generative AI, to address clinical, operational, and business needs.
Evaluate emerging AI technologies and tools, partnering with technical and business stakeholders to translate new capabilities into practical, responsible, and measurable solutions.